# Full Installation

# Create a Virtual Environment

It is highly recommended to install DTLA-AI in virtual environment using conda. This will ensure a clean and isolated environment for the installation process. use python=3.8 to avoid any compatibility issues

conda create -n DLTA-AI python=3.8
conda activate DLTA-AI

# Install Pytorch

First, you need to install pytorch according to your device and your OS, if you have GPU, choose CUDA version, otherwise choose CPU version

Example:

conda install pytorch torchvision torchaudio .... -c pytorch>

Due to inconsistency between the current versions of pytorch and mmcv, some users may face issues when using pytorch 2.x if you face any issues, try to install pytorch 1.13.1 instead

# Option 1: Using pip

Installation using pip is more easier since it handles all dependencies

pip install DLTA-AI

then run it from anywhere using

DLTA-AI

note that first time running DLTA-AI, it will download a required module, it may take some time

you can also use pip for updating DLTA-AI

pip install DLTA-AI -U

# Option 2: Manual Installation

Download the lastest release from here

install requirements

pip install -r requirements.txt
mim install mmcv-full==1.7.0

then Run the tool from DLTA_AI_app directory

cd DLTA_AI_app
python __main__.py